{"title":"Deterministic coin tossing with applications to optimal parallel list ranking","authors":"Richard Cole , Uzi Vishkin","doi":"10.1016/S0019-9958(86)80023-7","DOIUrl":null,"url":null,"abstract":"<div><p>The following problem is considered: given a linked list of length <em>n</em>, compute the distance from each element of the linked list to the end of the list. The problem has two standard deterministic algorithms: a linear time serial algorithm, and an <em>O</em>(log <em>n</em>) time parallel algorithm using <em>n</em> processors. We present new deterministic parallel algorithms for the problem. Our strongest results are (1) <em>O</em>(log <em>n</em> log* <em>n</em>) time using <em>n</em>/(log <em>n</em> log* <em>n</em>) processors (this algorithm achieves optimal speed-up); (2) <em>O</em>(log <em>n</em>) time using <em>n</em> log<sup>(<em>k</em>)</sup><em>n</em>/log <em>n</em> processors, for any fixed positive integer <em>k</em>. The algorithms apply a novel “random-like” deterministic technique. This technique provides for a fast and efficient breaking of an apparently symmetric situation in parallel and distributed computation.</p></div>","PeriodicalId":38164,"journal":{"name":"信息与控制","volume":"70 1","pages":"Pages 32-53"},"PeriodicalIF":0.0000,"publicationDate":"1986-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0019-9958(86)80023-7","citationCount":"432","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息与控制","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019995886800237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 432
Abstract
The following problem is considered: given a linked list of length n, compute the distance from each element of the linked list to the end of the list. The problem has two standard deterministic algorithms: a linear time serial algorithm, and an O(log n) time parallel algorithm using n processors. We present new deterministic parallel algorithms for the problem. Our strongest results are (1) O(log n log* n) time using n/(log n log* n) processors (this algorithm achieves optimal speed-up); (2) O(log n) time using n log(k)n/log n processors, for any fixed positive integer k. The algorithms apply a novel “random-like” deterministic technique. This technique provides for a fast and efficient breaking of an apparently symmetric situation in parallel and distributed computation.